SA is version 3.3.2 spamd is running with these args: SPAMD_ARGS="-d -c -L --min-spare=3 --max-spare=5 --max-children=10"
and procmail runs spamc Some messages are classified as spam, but the output of sa-learn --dump magic doesn't change. The sequence sa-learn --dump magic 0.000 0 3 0 non-token data: bayes db version 0.000 0 4060 0 non-token data: nspam 0.000 0 13610 0 non-token data: nham 0.000 0 201170 0 non-token data: ntokens 0.000 0 1250256152 0 non-token data: oldest atime 0.000 0 1392835814 0 non-token data: newest atime 0.000 0 1392836188 0 non-token data: last journal sync atime 0.000 0 1255781535 0 non-token data: last expiry atime 0.000 0 5529600 0 non-token data: last expire atime delta 0.000 0 32960 0 non-token data: last expire reduction count sa-learn --spam --no-sync --mbox spam-mailbox ** where contents are recently received messages that got a low (.5 - 3) score. sa-learn --sync sa-learn --dump magic results in exactly the same output. Is this correct? I have repeated this several times with different messages. The sa-learn execution displays a message like Learned tokens from 2 message(s) (2 message(s) examined) Richard Crane ------- Haskins Laboratories / (203) 865-6163 X 275 / FAX (203) 865-8963 300 George Street/New Haven, CT 06511
